ISTE 5: computational thinker

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Students formulate problems within technology to work with data analysis, abstract models, and algorithmic thinking.

Students collect data or identify data sets.

Students use digital tools to analyze data sets to represent real-world problems or make decisions.

Students break down problems in order to problem solve.

Students understand how automation works and use algorithmic thinking to create a sequence of steps.

Google: Computational Thinking

Computational Thinking (CT) is a problem solving process that includes a number of characteristics and dispositions. CT is essential to the development of computer applications, but it can also be used to support problem solving across all disciplines, including the humanities, math, and science. Students who learn CT across the curriculum can begin to see a relationship between academic subjects, as well as between life inside and outside of the classroom.

This course provides an opportunity to experience some of the elements of CT, including:

Decomposition: Breaking down data, processes, or problems into smaller, manageable parts

Pattern Recognition: Observing patterns, trends, and regularities in data

Abstraction: Identifying the general principles that generate these patterns

Algorithm Design: Developing the step by step instructions for solving this and similar problems